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Publications of SPCL
| P. Mazumder, A. Calotoiu, M. Copik, Y. Koray Budanaz, S. Chandran, T. Hoefler: | ||
| What Bloats Your Floats? Right-Sizing Numerical Precision for Scientific Computing (ACM Trans. Reconfigurable Technol. Syst.. Vol , Nr. , In , presented in New York, NY, USA, pages , ACM, ISSN: 1936-7406, ISBN: , Mar. 2026, Just Accepted ) Publisher Reference AbstractWhile FP64 (binary64) remains the standard representation of real numbers in scientific computing, hardware trends increasingly favor low-precision formats optimized for AI workloads. This shift prioritizes throughput and energy efficiency over full-precision capabilities. We challenge the necessity of high-precision arithmetic in PDE-governed simulations, where spatial and temporal discretization errors introduce a physical noise floor that masks the lower-order bits of the FP64 format, rendering them irrelevant. We propose a criterion based on the Signal-to-Noise Ratio (SNR) with respect to spatial and temporal refinements to evaluate the impact of safe precision reduction on scientific computations. Finally, we present an automated dataflow-centric workflow for targeted lowering within mixed-precision subgraphs in complex scientific applications. Large-scale evaluations of weather and climate applications show that strategic precision reduction on GPUs achieves up to 1.8× speedup without compromising physical fidelity.Documentsdownload article:download slides: | ||
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